Brand protection in search and AI is becoming more important as people increasingly use search engines and AI tools to find information about companies, products, and individuals.
A brand protection audit looks for incorrect information, impersonation, outdated claims, fake websites, unauthorized accounts, and other forms of brand misuse. The goal is to make accurate information easier to find and help users identify official sources.
Brand protection is related to online reputation management, but the two are not the same. Reputation management focuses mainly on how people view a brand. Brand protection focuses on whether users and AI systems can correctly identify the brand and find reliable information about it.
Search and AI systems collect information from many sources. This can include official websites, social profiles, review platforms, third-party websites, forums, and developer communities.
When incorrect information appears across several sources, it can become harder to separate facts from errors.
For example, an old claim may still appear in search results even after it is no longer accurate. A fake support page may also appear when someone searches for help. If other websites repeat the same information, an AI system may later use those sources when answering a related question.
Brand misuse can also happen in technical environments.
One example is slopsquatting, where attackers register software package names that AI coding tools may incorrectly suggest. In one documented case, a malicious npm package called “unused-imports” was registered even though the legitimate package is called “eslint-plugin-unused-imports.”
Another documented case involved an LLM-generated package name created by combining names from real tools. The resulting command appeared in 237 GitHub repositories containing AI-generated agent skills. No compromise was reported in that case, but the incident showed how an attacker could potentially register an AI-generated name before the legitimate owner does.
These examples show that brand protection now extends beyond websites and social media. Names can also be misused in software packages, developer tools, and AI-generated content.
A brand protection audit should look for several types of problems:
These issues can also build on each other.
For example, a fake support website could publish an incorrect phone number. Other websites might copy that number. An AI system could then find the same information across several sources and present it as an answer.
That makes regular auditing important.
Before checking search results, create a clear record of the information that should be associated with the brand.
For a company, this can include:
For an individual, record the professional name, name variations, transliterations, current and previous roles, official profiles, and other people who have similar names.
Each important fact should have a source and a date showing when it was last checked.
A simple spreadsheet can work for smaller brands. Bigger organizations might use the knowledge graph for linking individuals, products, websites, organizations, and other entities that are important. By associating the source and date with each piece of information, it will become easy to spot outdated data in the future.
A brand's search presence can change between countries, languages, and search environments.
For that reason, a single global search is not enough.
If a company operates across five country-language combinations, each combination should be checked separately. This helps identify problems that may only appear in a specific market.
Search conditions also matter.
Run important checks from a clean, logged-out browser where possible. Run tests from the target location and language, especially if the brand works internationally.
Google notes that search results can vary based on factors such as location, language, and device.
Record these conditions during every audit. A search performed from a VPN may produce different results from one performed through a local connection.
The test environment should match the audience as closely as possible. If customers commonly use VPNs, include VPN testing. Otherwise, treat VPN results as an additional diagnostic rather than the main view of the market.
Brand audits should also include mobile devices.
Many brands receive a large share of branded searches from mobile users. Mobile search can display a different layout and may surface different features than desktop search.
Check how the brand appears on both devices.
Examine the brand related results for branded searches by inspecting the official website, social profiles maps review pages, news results videos images and other search features that appear.
The objective is simple: understand what a real customer is likely to see when they search for the brand, and identify anything that could make the brand difficult to recognise or verify.
